At a Glance
- Tasks: Lead a team of AI Engineers to enhance decision-making in global markets.
- Company: Join a leading financial services firm focused on innovation and technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and continuous learning.
- Why this job: Shape the future of finance with cutting-edge AI solutions and impactful strategies.
- Qualifications: 10+ years in customer-facing roles, with leadership experience in AI/ML teams.
The predicted salary is between 100000 - 130000 € per year.
Lead and manage a specialized team of AI Engineers embedded directly with Macro portfolio managers, rates traders, credit analysts, and FX specialists. Drive strategic initiatives that improve decision speed and research processes in global markets. Serve as the strategic final link between our platform and the Macro and Fixed Income investment organization – leading adoption of in-house tools, architecting agentic workflows tailored to Macro and Fixed Income use cases, and establishing comprehensive feedback loops with BAM’s Data Science and AI teams.
Key Responsibilities
- Lead Team & Strategy – build, manage, and mentor the AI Engineering team focused on Macro and Fixed Income markets; develop enterprise-wide adoption strategies across rates, credit, FX, and Macro trading desks.
- Technical Leadership – design and lead execution of a robust, scalable functional architecture that maximises the value of BAM’s AI tools for the Macro and Fixed Income business; build a strong technical culture within the Macro AI team, reinforcing world-class engineering practices and accountability to key business stakeholders.
- Strategic Adoption – partner with Macro and Fixed Income leadership to establish firm-wide AI adoption roadmaps and success metrics; embed with key trading desks to maximise value from BAM’s generative AI and data science tools.
- Strategic Partnership – collaborate with senior Macro PMs and analysts to translate high-level investment strategy requirements into scalable technical solutions that address complex challenges in global markets and Fixed Income investing.
- Innovation – track emerging LLM techniques and machine learning methods relevant to Macro and Fixed Income markets; pilot promising innovations and lead adoption of proven methodologies across the platform.
Qualifications & Experience
- 10+ years of experience in customer-facing roles, with at least 5 years in leadership positions managing software engineering teams focused on LLM-based and data science solutions.
- Proven track record of building and scaling AI/ML teams and driving enterprise-wide technology adoption in financial services.
- Demonstrable experience architecting and deploying LLM-based applications at scale.
- Strong preference for candidates with significant Macro, Fixed Income, or rates experience – including hands-on experience with economic analysis, Fixed Income instruments, FX markets, and direct leadership collaboration with Macro portfolio managers and senior analysts.
- Experience managing cross-functional initiatives and driving change management in fast-paced trading environments.
- Technical skills: architecture and integration of LLMs and AI models into production; understanding of AI agent architectures and multi-agent systems; familiarity with OpenAI APIs, Anthropic Claude, or similar AI services; experience with LLM frameworks such as LangChain and LlamaIndex; emerging AI technologies.
- Expert-level proficiency in Python & SQL for data manipulation, statistical modelling and machine learning.
- Familiarity with containerisation (Docker) and orchestration (Kubernetes); experience with cloud platforms (AWS preferred); experience with vector databases and RAG systems.
- Strong understanding of software engineering best practices, CI/CD, and infrastructure as code.
Education
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or equivalent work experience.
- MBA or PhD preferred for leadership scope.
- Advanced academic training in computer science, statistics, and data science techniques (including machine learning methods) is required.
- Strong preference for candidates with academic training in generative AI techniques and macroeconomic or Fixed Income analysis.
Macro AI Engineering Lead employer: Balyasny Asset Management LP
As a leading employer in the financial services sector, we offer an innovative work environment where AI Engineering professionals can thrive. Our commitment to employee growth is evident through mentorship opportunities and strategic partnerships with senior leaders, fostering a culture of collaboration and excellence. Located in a dynamic market, our team enjoys access to cutting-edge technology and the chance to drive impactful change in Macro and Fixed Income investing.
Contact Detail:
Balyasny Asset Management LP Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Macro AI Engineering Lead
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the Macro and Fixed Income space. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! When you get the chance to chat with potential employers, make sure to highlight your experience with LLMs and AI tools. Share specific examples of how you've driven tech adoption or led teams in fast-paced environments. This will set you apart from the crowd!
✨Tip Number 3
Tailor your approach! Research the companies you're interested in and understand their Macro and Fixed Income strategies. When you apply through our website, make sure your application reflects how your skills align with their needs. Personalisation goes a long way!
✨Tip Number 4
Follow up! After interviews or networking events, drop a quick thank-you note to express your appreciation. It keeps you on their radar and shows your enthusiasm for the role. Plus, it’s a great way to reinforce your fit for the team!
We think you need these skills to ace Macro AI Engineering Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in AI engineering, especially in Macro and Fixed Income markets. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Macro AI Engineering Lead role. Share specific examples of your leadership and technical achievements that relate to our needs.
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Make sure to detail your experience with LLMs, Python, SQL, and any relevant tools or frameworks. We’re keen to see how you can contribute to our innovative projects.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Balyasny Asset Management LP
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially as they relate to Macro and Fixed Income markets. Be ready to discuss specific LLM techniques and how they can be applied to improve decision-making processes.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully built and managed teams in the past. Highlight your experience in driving technology adoption and leading cross-functional initiatives, as this role requires strong leadership in a fast-paced environment.
✨Understand the Business
Familiarise yourself with the key players in Macro and Fixed Income trading. Be prepared to discuss how your technical solutions can address their specific challenges and enhance their workflows. This shows that you’re not just a techie but also understand the business side of things.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current AI initiatives and future goals. This demonstrates your genuine interest in the role and helps you gauge how well you’d fit into their strategic vision.
